Implementation of Deep Learning in Independent Curriculum

In today's digital era, various significant new challenges and opportunities are faced by the world of education. The Independent Curriculum implemented in Indonesia is designed to provide freedom and comfort to students in developing their potential. In this context, the application of the Deep Learning concept is considered increasingly important. This study aims to discuss the application of Deep Learning in the Independent Curriculum and its application to future education. The literature study method with a qualitative descriptive approach is used to describe and analyze the application of Deep Learning in the Independent Curriculum. The main focus of the study is the collection and analysis of information from relevant literature sources. Based on the literature study that has been conducted, a significant impact on future education can be provided by the application of Deep Learning in the Independent Curriculum. Some important aspects include personalization of learning, data analysis, interactive content, improving the quality of teaching, the potential of artificial intelligence (AI), and preparation for the future.

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Publication Details

Journal
Cetta Jurnal Ilmu Pendidikan
Published
2025-06-12
DOI
https://doi.org/10.37329/cetta.v8i4.4486
Primary Topic
Educational Curriculum and Learning Methods
Type
article
Field-Weighted Citation Impact
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article

Implementation of Deep Learning in Independent Curriculum

Yusuf Tri Herlambang, Ida Arina
Cetta Jurnal Ilmu Pendidikan
Educational Curriculum and Learning Methods
article

Implementation of Deep Learning in Independent Curriculum

Yusuf Tri Herlambang, Ida Arina
article en

Abstract

In today's digital era, various significant new challenges and opportunities are faced by the world of education. The Independent Curriculum implemented in Indonesia is designed to provide freedom and comfort to students in developing their potential. In this context, the application of the Deep Learning concept is considered increasingly important. This study aims to discuss the application of Deep Learning in the Independent Curriculum and its application to future education. The literature study method with a qualitative descriptive approach is used to describe and analyze the application of Deep Learning in the Independent Curriculum. The main focus of the study is the collection and analysis of information from relevant literature sources. Based on the literature study that has been conducted, a significant impact on future education can be provided by the application of Deep Learning in the Independent Curriculum. Some important aspects include personalization of learning, data analysis, interactive content, improving the quality of teaching, the potential of artificial intelligence (AI), and preparation for the future.

Cetta Jurnal Ilmu PendidikanVol. 8(4)
Indonesia University of Education (ID)
Openalex Percentile: Top 79%
Educational Curriculum and Learning Methods
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